Bringing AI to the Frontlines of the COVID-19 Crisis
The COVID-19 pandemic has now crossed the one million mark; one million people have been afflicted with the virus globally and it will likely get worse before it gets better.
Now is the time for everyone to join the fight, and use their best skills, knowledge and technologies to aid in the crisis. We’re excited to announce that ElectrifAi has joined the fight and put our algorithms to work with one of the largest hospital systems in the New York metro area.
Hospital and healthcare networks in crisis areas such as New York tell us that they need immediate and effective solutions to manage the admittance of patients. Crisis hospitals are past the point of admitting all patients. Many patients who are likely to recover without hospital care are being sent home even if they test positive and show signs of infection. The decision to send home is not easy to make, and it is not always made correctly. Some patients return in significantly worse shape. We are trying to help with that exact critical question: who gets admitted, and who is sent home? An X-ray is one dimension of that, and one where machine learning can help augment a radiologist’s knowledge in several ways, allowing them to focus their attention on those critical tough calls effectively and with as much information as possible.
Our new PulmoAi X-ray solution has been built in cooperation with New York area hospitals as a direct response to current clinical practices. In collaboration with more than 20 radiologists and data scientists, ElectrifAi has aggregated x-ray and CT-scan images of COVID-19 infected lungs. Starting this week at Catholic Health Services across Long Island, PulmoAi X-ray will now use images of lungs and cloud compute to achieve test results in minutes.
The launch of ElectrifAi’s PulmoAi solutions to aid with COVID-19 relief is a proud milestone for our company in the global initiative to help defeat this pandemic. With some of the most powerful technologies at our fingertips, it is only ethical that they be used to help prevent the spread of the disease and provide aid to overwhelmed healthcare systems in crisis areas.
We are hoping to also use a related solution, PulmoAi CT, to learn more about coronavirus and the entirely unpredictable and inexplicable progression it has made. PulmoAi CT uses different technology from PulmoAi X-ray and is built for a different purpose. Running CT-scans of affected patients through our algorithms will help the medical community better understand how the virus manifests and spreads in the lungs, and how or why it impacts some differently than others. PulmoAi CT would also be useful in quickly evaluating drug treatments and changes in treatment protocols, as we attempt together to bring this pandemic rapidly under control.